Semi-additive functionals of semi-Markov processes and measure-valued Poisson equation
Shanshan Liu,
Xiaoyu Xing and
Guoxin Liu
Statistics & Probability Letters, 2019, vol. 147, issue C, 45-56
Abstract:
In this paper, we consider a continuous-time semi-Markov process (SMP) in Polish spaces. We first introduce the semi-additive functional in semi-Markov cases, a natural generalization of the additive functional of Markov process (MP). The main contribution of this paper is the properties of semi-additive functional aforementioned. First, semi-additive functionals of SMPs are characterized in terms of a càdlàg function with zero initial value and a measurable function. Second, the necessary and sufficient conditions are investigated under which a semi-additive functional of SMP is a semimartingale, a local martingale, or a special semimartingale respectively. By the way, the Itô type formula is given. Finally, we study the expected cumulative discounted value of the semi-additive functional of an SMP. We prove that it solves a measure-valued Poisson equation and give the uniqueness conditions.
Keywords: Semi-Markov process; Semi-additive functional; Itô formula; Expected cumulative discounted value; Measure-valued Poisson equation (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:147:y:2019:i:c:p:45-56
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DOI: 10.1016/j.spl.2018.11.004
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